SES2003 : Research Methods for Sport and Exercise Science
SES2003 : Research Methods for Sport and Exercise Science
- Offered for Year: 2024/25
- Module Leader(s): Dr Adam Coussens
- Lecturer: Dr Pete Philipson, Dr Adrian Holliday
- Owning School: Biomedical, Nutritional and Sports Scien
- Teaching Location: Newcastle City Campus
Semesters
Your programme is made up of credits, the total differs on programme to programme.
Semester 1 Credit Value: | 10 |
Semester 2 Credit Value: | 10 |
ECTS Credits: | 10.0 |
European Credit Transfer System | |
Pre-requisite
Modules you must have done previously to study this module
Pre Requisite Comment
N/A
Co-Requisite
Modules you need to take at the same time
Co Requisite Comment
N/A
Aims
This module aims to introduce students to the principles and processes of research, equipping students with the knowledge and skills to be effective consumers and producers of research.
Outline Of Syllabus
The indicative topics covered in the module include:
• The principles and purpose of research
• How a sport and exercise scientist uses research evidence in practice
• Stages of the research process
• Research paradigms and experimental designs
• Effective data collection
• Key quantitative and qualitative data analysis techniques (e.g. central tendency, variance, probability, hypothesis testing, correlation, regression, t-tests, ANOVA, non-parametric tests, thematic analysis, content analysis) and the interpretation of outputs
• Ethical considerations of research
Learning Outcomes
Intended Knowledge Outcomes
On successful completion of the module, students will be able to:
1. Describe and explain the principles of research and the research process
2. Appraise the strengths and limitations of research designs and methods, identifying and justifying appropriate designs and methods for specific sport and exercise-related contexts
Intended Skill Outcomes
On successful completion of the module, students will be able to:
1. Source, appraise and apply research evidence to answer sport and exercise-based questions
2. Apply, justify and interpret key data analysis techniques to a range of sport and exercise-based data
Teaching Methods
Teaching Activities
Category | Activity | Number | Length | Student Hours | Comment |
---|---|---|---|---|---|
Scheduled Learning And Teaching Activities | Lecture | 10 | 1:30 | 15:00 | PIP lectures Semester One |
Scheduled Learning And Teaching Activities | Lecture | 9 | 1:00 | 9:00 | PIP - Lectures (Semester One and Two) |
Guided Independent Study | Assessment preparation and completion | 80 | 1:00 | 80:00 | Non synchronous online - Preparation & completion |
Scheduled Learning And Teaching Activities | Small group teaching | 2 | 1:00 | 2:00 | Assessment support tutorial session |
Scheduled Learning And Teaching Activities | Small group teaching | 10 | 1:00 | 10:00 | PIP Data analyses pract sessions using PC & classroom based exercises to reinforce lecture materials |
Scheduled Learning And Teaching Activities | Workshops | 3 | 2:00 | 6:00 | PIP - Interactive workshops |
Guided Independent Study | Independent study | 78 | 1:00 | 78:00 | Non Synchronous - broader reading & study of topics relating to research methods |
Total | 200:00 |
Teaching Rationale And Relationship
Computer-based practical sessions will allow students to develop and apply statistical analyses skills. These practical sessions will be supported with non-synchronous lecture materials to facilitate understanding and mastery of analyses techniques.
Lectures will introduce principles and processes of research, relaying key knowledge and supporting understanding. Seminars will allow students to consolidate and apply this knowledge and understanding in sport and exercise science contexts. Methods such as problem-based learning, journal club sessions, and inquiry-based learning activities will allow students to apply appraisal skills as both a consumer and producer of research.
Reading Lists
Assessment Methods
The format of resits will be determined by the Board of Examiners
Exams
Description | Length | Semester | When Set | Percentage | Comment |
---|---|---|---|---|---|
Digital Examination | 90 | 1 | A | 40 | PIP Inspera Invigilated: SAQs & calculations of material covered in data analysis lectures, & computer-based practical sessions |
Other Assessment
Description | Semester | When Set | Percentage | Comment |
---|---|---|---|---|
Portfolio | 2 | M | 60 | 1500 word research portfolio evidencing the student's understanding & application of principles & process of research |
Assessment Rationale And Relationship
The exam will assess student’s ability to select, justify, conduct and interpret appropriate data analysis techniques and statistical tests in sport and exercise science contexts. It will also assess knowledge and understanding of appropriate research paradigms and processes for specific sport and exercise science contexts. The exam will assess intended knowledge outcome 1 and intended skill outcome 2.
The portfolio provides students the opportunity, through a range of learning activities and experiences, to evidence appraisal of experimental designs and methods, and appraisal and application of research evidence. The portfolio will assess intended knowledge outcome 2 and intended skill outcome 1
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- SES2003's Timetable
Past Exam Papers
- Exam Papers Online : www.ncl.ac.uk/exam.papers/
- SES2003's past Exam Papers
General Notes
N/A
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Disclaimer
The information contained within the Module Catalogue relates to the 2024 academic year.
In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described.
Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, and student feedback. Module information for the 2025/26 entry will be published here in early-April 2025. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.